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Communications and Networking. 17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings

Research Article

An Efficient Memory Management Method for Embedded Vector Processors

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-34790-0_19,
        author={Shengxuan Li and Haoqi Ren and Zhifeng Zhang and Bin Tan and Jun Wu},
        title={An Efficient Memory Management Method for Embedded Vector Processors},
        proceedings={Communications and Networking. 17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings},
        proceedings_a={CHINACOM},
        year={2023},
        month={6},
        keywords={DSP RT-Thread Nano vector memory pool},
        doi={10.1007/978-3-031-34790-0_19}
    }
    
  • Shengxuan Li
    Haoqi Ren
    Zhifeng Zhang
    Bin Tan
    Jun Wu
    Year: 2023
    An Efficient Memory Management Method for Embedded Vector Processors
    CHINACOM
    Springer
    DOI: 10.1007/978-3-031-34790-0_19
Shengxuan Li1, Haoqi Ren1, Zhifeng Zhang1, Bin Tan2, Jun Wu3,*
  • 1: Department of Computer Science
  • 2: School of Electronic and Information Engineering
  • 3: School of Computer Science
*Contact email: wujun@fudan.edu.cn

Abstract

For processors with vectorial computing units like DSP, it is very important to ensure vector load/store operations alignment of memory blocks, and minimize space wastage when making memory allocations. In this paper, we design and implement a memory management method, vector memory pool, suitable for embedded vector processors. By partitioning an entire block of memory space into many aligned vector objects and making efficiently use of vector processing units, the processing of memory manipulation library functions such as memset/memcpy is accelerated. The implementation and comparative verification of vector memory pool on RT-Thread Nano based on SWIFT DSP was completed, and the running efficiency reached a tens of times improvement compared to the original method.

Keywords
DSP RT-Thread Nano vector memory pool
Published
2023-06-10
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-34790-0_19
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